Triple
T1992558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weser Uplands |
E43282
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hamelin |
E178114
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hamelin | Statement: [Weser Uplands, contains, Hamelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamelin Context triple: [Weser Uplands, contains, Hamelin]
-
A.
Hameln
chosen
Hameln is a historic town in Lower Saxony, Germany, best known as the setting of the Pied Piper of Hamelin legend.
-
B.
Mouseton
Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
-
C.
Hintonburg
Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
-
D.
Bremen-Verden
Bremen-Verden was a former duchy in northern Germany that emerged from the secularized prince-bishoprics of Bremen and Verden and was at times ruled in personal union by Sweden.
-
E.
Roxeter
Roxeter is a historic settlement in Shropshire, England, known for its Roman origins and archaeological significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033a39d48190b6389e22de0d4418 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.